TY - GEN
T1 - Automatic removal of externally attached fiducial markers in cone beam C-arm CT
AU - Berger, Martin
AU - Forman, Christoph
AU - Schwemmer, Chris
AU - Choi, Jang H.
AU - Müller, Kerstin
AU - Maier, Andreas
AU - Hornegger, Joachim
AU - Fahrig, Rebecca
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2014.
PY - 2014
Y1 - 2014
N2 - In computed tomography fiducial markers are frequently used to obtain accurate point correspondences for further processing. These markers typically cause metal artefacts, decreasing image quality of the subsequent reconstruction and are therefore often removed from the projection data. The placement of such markers is usually done on a surface, separating two materials, e.g. skin and air. Hence, a correct restoration of the occluded area is difficult. In this work six state-of-the-art interpolation techniques for the removal of high-density fiducial markers from cone-beam CT projection data are compared. We conducted a qualitative and quantitative evaluation for the removal of such markers and the ability to reconstruct the adjoining edge. Results indicate that an iterative spectral deconvolution is best suited for this application, showing promising results in terms of edge, as well as noise restoration.
AB - In computed tomography fiducial markers are frequently used to obtain accurate point correspondences for further processing. These markers typically cause metal artefacts, decreasing image quality of the subsequent reconstruction and are therefore often removed from the projection data. The placement of such markers is usually done on a surface, separating two materials, e.g. skin and air. Hence, a correct restoration of the occluded area is difficult. In this work six state-of-the-art interpolation techniques for the removal of high-density fiducial markers from cone-beam CT projection data are compared. We conducted a qualitative and quantitative evaluation for the removal of such markers and the ability to reconstruct the adjoining edge. Results indicate that an iterative spectral deconvolution is best suited for this application, showing promising results in terms of edge, as well as noise restoration.
UR - http://www.scopus.com/inward/record.url?scp=84924082091&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-54111-7_59
DO - 10.1007/978-3-642-54111-7_59
M3 - Conference contribution
AN - SCOPUS:84924082091
T3 - Informatik aktuell
SP - 318
EP - 323
BT - Bildverarbeitung fur die Medizin 2014
A2 - Meinzer, Hans-Peter
A2 - Handels, Heinz
A2 - Deserno, Thomas Martin
A2 - Tolxdorff, Thomas
PB - Kluwer Academic Publishers
T2 - Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2014 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2014
Y2 - 16 March 2014 through 18 March 2014
ER -